FinOps Data Engineer

📋 Description

• Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify
• Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw
• Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product
• Apply data science to cost and usage data: Build forecasting models, detect anomalies statistically
• Build and maintain cost attribution: Tagging policies, cost allocation, and chargeback/showback so
• Automate cost governance: Build automated cost reporting, anomaly detection, and alerting. Write

🎯 Requirements

• Have strong AWS expertise and working GCP knowledge, including pricing models, billing structures
• Have data engineering depth: dbt, BigQuery (or an equivalent modern warehouse), SQL at scale, and
• Have data science fundamentals: statistical forecasting, anomaly detection, and experimentation
• Have automation and scripting skills: Python, Terraform/ pulumi, Lambda, or Bash.
• Are comfortable with cost/billing tooling: AWS Cost Explorer, Cost & Usage Reports, GCP Billing
• Have experience with, or are comfortable picking up, Linear and Notion as the system of record for

🎁 Benefits

• Fully Remote: We hire globally. We believe you can do your best work from anywhere. There are no
• ESOP: Every team member receives ESOP (equity ownership) in the company. We want everyone to share
• Tech Allowance: Use this budget to set up your ideal work environment—laptop, monitor, headphones
• Health Benefits: Supabase covers 100% of health insurance for employees and 80% for dependents
• Annual Off-Sites: Once a year, the entire company gathers in a new city for a week of connection
• Flexible Work: We operate asynchronously and trust you to manage your own time. You know what needs